BigQuery under the hood: How Google brought embeddings to analytics
cloud.google.com·2h
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Simulating Clifford Circuits with Gaussian Elimination
arxiv.org·14h
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What Changed? Pin-pointing behavior shift
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Deep Learning for Molecules and Materials
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<p>**Abstract:** This paper proposes a novel approach to verifying the Bogaev conjecture—specifically, confirming the existence of periodic functions generated ...
freederia.com·5h
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Bandits in Your LLM Gateway
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Scaling to 1B Vectors: What DataStax Learned Using OpenSearch and JVector
opensearch.org·5h
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AGRAG: Advanced Graph-based Retrieval-Augmented Generation for LLMs
arxiv.org·14h
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Adaptive Gradient-Free Optimization via High-Dimensional Feature Space Mapping & Ensemble Learning
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Scaling HNSWs
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Cache-Friendly, Low-Memory Lanczos Algorithm in Rust
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Non-Negative Stiefel Approximating Flow: Orthogonalish Matrix Optimization for Interpretable Embeddings
arxiv.org·14h
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Diving into Rama: A Clojure LSH Vector Search Experiment
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Tableplot Tutorial: Customizing Plots with Parameter Substitution
clojurecivitas.github.io·19h
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Training GPT in Sheets
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Intelligent inference request routing for large language models
next.redhat.com·4h
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The Complete Guide to AI-Powered Search: From Basics to Self-Learning Systems
pub.towardsai.net·1d
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LightGBM Explained
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